The invention provides a collaborative interval management conversion program optimization method based on flight demand uncertainty. The method comprises the following steps: determining an uncertainty variable of a collaborative interval management conversion program CMCP optimization problem; estimating probability density function key parameters of normal distribution of the uncertainty variables according to historical data; constructing a CMCP opportunity constrained programming model and equivalent transformation thereof; and solving the converted CMCP opportunity constraint programming model based on a particle swarm algorithm. According to the method, the flight demand uncertainty factor, namely the uncertainty of the flight point passing time, is considered. Under the condition that the actual flight passing time is uncertain and interfered, the flight operation based on the optimization result can keep good airspace performance, so that the actual execution effect of the flight plan cannot be seriously fluctuated due to the uncertainty of the flight passing time.

    本发明提供了基于飞行需求不确定的协同间隔管理转化程序优化方法,包括:确定协同间隔管理转化程序CMCP优化问题的不确定性变量;根据历史数据估计不确定性变量的正态分布的概率密度函数关键参数;构建CMCP机会约束规划模型及其等价转化;基于粒子群算法对转化后的CMCP机会约束规划模型求解。本发明考虑了飞行需求不确定性因素,即航班过点时间的不确定性。在航班实际过点时间不确定干扰的情况下,基于本发明优化结果的航班运行能够保持良好的空域性能,使得飞行计划实际执行效果不会因为航班过点时间的不确定性而产生严重波动。


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    Title :

    Cooperative interval management conversion program optimization method based on flight demand uncertainty


    Additional title:

    基于飞行需求不确定的协同间隔管理转化程序优化方法


    Contributors:
    GUO-YE CHENFENG (author) / CAI JIANG (author) / DING HUI (author) / TIAN JING (author) / ZHANG MINGWEI (author)

    Publication date :

    2025-02-25


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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